Upload 2025-09-03/runs/4997-17438034315/ci_results_run_models_gpu/model_results.json with huggingface_hub
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2025-09-03/runs/4997-17438034315/ci_results_run_models_gpu/model_results.json
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{
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"models_qwen2_5_omni": {
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"failed": {
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"PyTorch": {
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},
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},
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"Flax": {
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},
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| 19 |
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"Tokenizers": {
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},
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"Pipelines": {
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"single": 0,
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"multi": 0
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},
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"Trainer": {
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"unclassified": 0,
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"single": 0,
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"multi": 0
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},
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"ONNX": {
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"single": 0,
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"multi": 0
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| 38 |
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},
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"Auto": {
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"single": 0,
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| 42 |
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"multi": 0
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},
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"Quantization": {
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"unclassified": 0,
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| 46 |
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"single": 0,
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| 47 |
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"multi": 0
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| 48 |
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},
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| 49 |
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"Unclassified": {
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| 50 |
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"unclassified": 0,
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| 51 |
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"single": 2,
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| 52 |
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"multi": 2
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}
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| 54 |
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},
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"errors": 0,
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| 56 |
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"success": 309,
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| 57 |
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"skipped": 127,
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| 58 |
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"time_spent": [
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193.19,
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| 60 |
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198.33
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| 61 |
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],
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| 62 |
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"failures": {
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| 63 |
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"multi": [
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{
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"line": "tests/models/qwen2_5_omni/test_processing_qwen2_5_omni.py::Qwen2_5OmniProcessorTest::test_apply_chat_template_audio_2",
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| 66 |
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"trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
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},
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{
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"line": "tests/models/qwen2_5_omni/test_processing_qwen2_5_omni.py::Qwen2_5OmniProcessorTest::test_apply_chat_template_audio_3",
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| 70 |
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"trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
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| 71 |
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}
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| 72 |
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],
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| 73 |
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"single": [
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{
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"line": "tests/models/qwen2_5_omni/test_processing_qwen2_5_omni.py::Qwen2_5OmniProcessorTest::test_apply_chat_template_audio_2",
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| 76 |
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"trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
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},
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{
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"line": "tests/models/qwen2_5_omni/test_processing_qwen2_5_omni.py::Qwen2_5OmniProcessorTest::test_apply_chat_template_audio_3",
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| 80 |
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"trace": "(line 829) RuntimeError: The frame has 0 channels, expected 1. If you are hitting this, it may be because you are using a buggy FFmpeg version. FFmpeg4 is known to fail here in some valid scenarios. Try to upgrade FFmpeg?"
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}
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]
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},
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"job_link": {
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"multi": "https://github.com/huggingface/transformers/actions/runs/17438034315/job/49513900369",
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"single": "https://github.com/huggingface/transformers/actions/runs/17438034315/job/49513900320"
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}
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},
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| 89 |
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"models_qwen2_5_vl": {
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"failed": {
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| 91 |
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"PyTorch": {
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| 92 |
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"unclassified": 0,
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| 93 |
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"single": 2,
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| 94 |
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"multi": 2
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},
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| 96 |
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"TensorFlow": {
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"unclassified": 0,
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| 98 |
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"single": 0,
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| 99 |
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"multi": 0
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| 100 |
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},
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| 101 |
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"Flax": {
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| 102 |
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"unclassified": 0,
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| 103 |
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"single": 0,
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| 104 |
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"multi": 0
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| 105 |
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},
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| 106 |
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"Tokenizers": {
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| 107 |
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| 108 |
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"single": 0,
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| 109 |
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"multi": 0
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| 110 |
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},
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| 111 |
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"Pipelines": {
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| 112 |
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"unclassified": 0,
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| 113 |
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"single": 0,
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| 114 |
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"multi": 0
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| 115 |
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},
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| 116 |
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"Trainer": {
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| 117 |
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"unclassified": 0,
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| 118 |
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"single": 0,
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| 119 |
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"multi": 0
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| 120 |
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},
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| 121 |
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"ONNX": {
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| 122 |
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"unclassified": 0,
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| 123 |
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"single": 0,
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| 124 |
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"multi": 0
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| 125 |
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},
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| 126 |
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"Auto": {
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| 127 |
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| 128 |
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"single": 0,
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| 129 |
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"multi": 0
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| 130 |
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},
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| 131 |
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"Quantization": {
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| 132 |
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| 133 |
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"single": 0,
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| 134 |
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"multi": 0
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| 135 |
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},
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| 136 |
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"Unclassified": {
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| 137 |
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| 138 |
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| 139 |
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"multi": 0
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| 140 |
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}
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| 141 |
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},
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| 142 |
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"errors": 0,
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| 143 |
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"success": 321,
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| 144 |
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"skipped": 123,
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| 145 |
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"time_spent": [
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| 146 |
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235.28,
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| 147 |
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231.48
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| 148 |
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],
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| 149 |
+
"failures": {
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| 150 |
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"multi": [
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| 151 |
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{
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| 152 |
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"line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
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| 153 |
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"trace": "(line 675) AssertionError: 'syst[73 chars]ant\\n addCriterion\\nThe dog in the picture app[95 chars]h is' != 'syst[73 chars]ant\\nThe dog in the picture appears to be a La[94 chars]t in'"
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| 154 |
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},
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| 155 |
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{
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"line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
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| 157 |
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"trace": "(line 675) AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[29 chars]aks'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
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| 158 |
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}
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| 159 |
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],
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| 160 |
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"single": [
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| 161 |
+
{
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| 162 |
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"line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions",
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| 163 |
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"trace": "(line 675) AssertionError: 'syst[73 chars]ant\\n addCriterion\\nThe dog in the picture app[95 chars]h is' != 'syst[73 chars]ant\\nThe dog in the picture appears to be a La[94 chars]t in'"
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| 164 |
+
},
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| 165 |
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{
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| 166 |
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"line": "tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2",
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| 167 |
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"trace": "(line 675) AssertionError: Lists differ: ['sys[216 chars]in', 'system\\nYou are a helpful assistant.\\nus[29 chars]aks'] != ['sys[216 chars]in', \"system\\nYou are a helpful assistant.\\nus[162 chars]ing\"]"
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| 168 |
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}
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| 169 |
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]
|
| 170 |
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},
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| 171 |
+
"job_link": {
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| 172 |
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"multi": "https://github.com/huggingface/transformers/actions/runs/17438034315/job/49513900372",
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| 173 |
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"single": "https://github.com/huggingface/transformers/actions/runs/17438034315/job/49513900392"
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| 174 |
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}
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| 175 |
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}
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| 176 |
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}
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